ClawHub

Journal Cover Prompter

v1.0.0

Use when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts. Creates detailed prompts for AI image genera...

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byAIpoch@aipoch-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description, SKILL.md, and the included Python script consistently implement a prompt-generation helper for journal covers. Declared dependencies (Python 3.10+) and the packaged entry point (scripts/main.py) are appropriate for the stated task.
✓
Instruction Scope
SKILL.md instructs the agent to validate inputs and run the bundled script; the instructions do not ask for unrelated files, credentials, or external endpoints. The script itself only formats and prints prompts and does not access network, secrets, or other system resources.
✓
Install Mechanism
No install specification is provided (instruction-only plus a small script). This minimizes risk: nothing is downloaded or written to disk beyond running the contained Python script.
✓
Credentials
The skill requires no environment variables, credentials, or config paths. The declared Python requirement is proportional to the packaged script.
✓
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes or modify other skills. It has no elevated privileges or autonomous persistence beyond normal agent invocation.
Scan Findings in Context
[no_pre_scan_findings] expected: Pre-scan reported 'None detected'. The included audit JSON and references are archival/diagnostic and consistent with a benign prompt-generation skill.
Assessment
This package appears coherent and low-risk: review the small scripts/main.py (it only formats and prints prompts), run the suggested sanity checks (python -m py_compile scripts/main.py and python scripts/main.py --help), and confirm you trust the unknown source before use. Because the skill's origin/homepage is not provided, consider inspecting the files locally and avoiding feeding sensitive or proprietary text into third-party image-generation services named in the tips. If you need greater assurance, ask the author for provenance or a signed release before deploying in production.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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